For diarization, we use the Augmented Multi-party Interaction (AMI) meeting dataset [1]}. We use the official “Full ASR corpus" split with TNO meetings excluded from the Dev and Eval set. Official manual annotations serve as the ground truth for evaluation.
The channels in the microphone array are beamformed with the standard BeamformIt toolkit [2]}.
The same split is used by many other works [3]}, [4]}, [5]}, [6]}, [7]}.
